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Topographic distribution of cerebral infarct probability in patients with acute ischemic stroke: mapping of intra-arterial treatment effect: mapping of intra-arterial treatment effect

  • AUTHOR GROUP
  • , MR CLEAN Trial Investigators
  • Department of Biomedical Engineering and Physics, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
  • From the Department of Neurology, (M.J.H.L.M., S.E., O.A.B., P.S.S.F., D.W.J.D.), Department of Radiology (M.J.H.L.M., B.J.E., A.v.d.L.), and Department of Public Health (H.F.L.), Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Neurology (L.A.v.d.B., P.J.N., Y.B.W.E.M.R.) and Department of Radiology (O.A.B., C.B.L.M.M.)...
  • Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands.
  • Cardiovascular Research Institute Maastricht (CARIM)/Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Department of Neurology and Clinical Neurophysiology, Academic Medical Center, Amsterdam, The Netherlands.
  • Division of Neurointervention, Texas Stroke Institute, Plano, Texas, USA.
  • 3 Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands.

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Background Since proof emerged that IA treatment (IAT) is beneficial for patients with acute ischemic stroke, it has become the standard method of care. Despite these positive results, recovery to functional independence is established in only about one-third of treated patients. The effect of IAT is commonly assessed by functional outcome, whereas its effect on brain tissue salvage is considered a secondary outcome measure (at most). Because patient and treatment selection needs to be improved, understanding the treatment effect on brain tissue salvage is of utmost importance. Objective To introduce infarct probability maps to estimate the location and extent of tissue damage based on patient baseline characteristics and treatment type. Methods Cerebral infarct probability maps were created by combining automatically segmented infarct distributions using follow-up CT images of 281 patients from the MR CLEAN trial. Comparison of infarct probability maps allows visualization and quantification of probable treatment effects. Treatment impact was calculated for 10 Alberta Stroke Program Early CT Score (ASPECTS) and 27 anatomical regions. Results The insular cortex had the highest infarct probability in both control and IAT populations (47.2% and 42.6%, respectively). Comparison showed significant lower infarct probability in 4 ASPECTS and 17 anatomical regions in favor of IAT. Most salvaged tissue was found within the ASPECTS M2 region, which was 8.5% less likely to infarct. Conclusions Probability maps intuitively visualize the topographic distribution of infarct probability due to treatment, which makes it a promising tool for estimating the effect of treatment
Original languageEnglish
Pages (from-to)431-436
Number of pages6
JournalJournal of neurointerventional surgery
Volume9
Issue number5
Early online date2016
DOIs
Publication statusPublished - May 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Aged
  • Aged, 80 and over
  • Brain
  • Brain Ischemia
  • Brain Mapping
  • Cerebral Infarction
  • Female
  • Humans
  • Infusions, Intra-Arterial
  • Male
  • Middle Aged
  • Patient Selection
  • Stroke
  • Treatment Outcome
  • Journal Article
  • Multicenter Study
  • Randomized Controlled Trial

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